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Browsing Jurnal Agriwidya by Subject "Analisis Kebutuhan Pelatihan"
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- ItemAnalisis kebutuhan pelatihan level organisasi di Kementerian ESDM(PPMKP, 2022-03) PULUNGAN, Zainul M.; PPMKPTraining is one of the efforts to improve competence which includes knowledge, expertise, skills, and attitudes so as to increase work productivity. Employees who have high productivity are employees who perform optimally so that they can improve organizational performance. To obtain quality training, it is necessary to an alyze the appropriate training needs to support organizational units through analysis and identification of problems or issues from the organization. The purpose of this study is to analyze and identify training needs at the organizational level in the Ministry of Energy and Mineral Resources. The method used in this research is descriptive qualitative, which is a research method used to solve actual problems by collecting, compiling, classifying, analyzing, and interpreting data. Data collection techniques were carried out through questionnaires and interviews with 11 echelon 1 units including the Secretariat General, Inspectorate General, Directorate General of Oil and Gas, Directorate General of Mineral and Coal, Directorate General of Electricity, Direct orate General of EBTKE, Research and Development Agency, Human Resources Development Agency, Geology Agency, BPH Migas , and the National Energy Council. The analysis is carried out by collecting data and information regarding challenges, obstacles, issues, and problems as a reference in developing employee competencies. From the results of this study, it was found that the training needed for the organizational level was training to serve effectively, efficiently and oriented to results. The Ministry of Energy and Mineral Resources also requires employees who have competence in technology and information management, as well as accountable budget management. In addition, with the reorganization from structural to functional positions, debriefing training is also needed for the transformed functional staff. Keywords: Competence, Training Needs Analysis, training identification
- ItemAnalisis Kebutuhan Pengembangan Model Pembelajaran Jarak Jauh pada Pelatihan Tata Naskah Dinas dengan Aplikasi PINTAR(PPMKP, 2022-09) ZENO, Muhammad Farid; PPMKPThe distance learning model is a learning model where the instructor and participants are in different places. During the COVID-19 pandemic, this learning model is very popular. This is because they do not meet face -to- face, thus minimizing physical contact. However, there has been no in-depth analysis regarding the development of this learning model in the Official Correspondence Training (Pelatihan Tata Naskah Dinas), especially by integrating it into learning management system (LMS) called PINTAR (Portal Informasi Pendidikan dan Pelatihan Terpadu/Integrated Education and Training Portal). Therefore, it is very imperative to analyze the needs for the development of the learning model, thus it can be applied for the development of innovative and effective e - learning models. The research was carried out within the Ministry of State Secretariat, with a period of 1 month. The subjects of the study were prospective Civil Servants (CPNS) within the Ministry in 2020, totaling 40 people. The data collection technique uses a survey method with a research inst rument in the form of a questionnaire that is integrated into electronic media. The data analysis technique used is descriptive statistical analysis and qualitative descriptive. The results showed that the dominant learning style favored by the respondents was visual. The majority of respondents stated that the model is a fun thing. This is an early indication that the model provides advantages such as not having to be in the same place or at the same time between the teacher and the participants. The model is feasible to be further developed for the training by using video-based learning media uploaded on YouTube, then integrated into PINTAR. Thus, the participants can still enjoy the performance of YouTube-based videos, and their learning progress is still recorded by PINTAR.